Image Classification using Statistical Learning Methods

• 作者: Hamid Amiri Jassem Mtimet
• 来源期刊: 软件工程与应用(英文)
• 学科: 医学
• 关键词: IMAGE classification DECISION TREE NEURONAL NETWORK STATISTICAL analysis
• 年，卷（期）: rjgcyyyyw_2012,（12）
• 页码范围: 200-203
• 页数: 4页
• 分类号: R73

摘要

In general, digital images can be classified into photographs, textual and mixed documents. This taxonomy is very useful in many applications, such as archiving task. However, there are no effective methods to perform this classification automatically. In this paper, we present a method for classifying and archiving document into the following semantic classes: photographs, textual and mixed documents. Our method is based on combining low-level image features, such as mean, Standard deviation, Skewness. Both the Decision Tree and Neuronal Network Classifiers are used for classification task.